• Developed complex 3D CAD models for additive manufacturing (AM) processes to reduce the

number of overall parts while maintaining strength and performance.

• Conducted in-depth Finite Element Analysis (FEA) of AM parts to modify the design while ensuring the printability of the part by implementing various Design of Experiments (DOE) techniques.

• Extracted and analyzed statistical data from the in-situ monitoring systems of the AM printers to

improve the 3D CAD models based on the part thermal distribution and final part distortion.

• Developed a model to predict the deformation behavior of additively manufactured parts in Python.

• Developed a quantitative model to predict the microstructures of SLM parts in Python.

• Worked on microstructure characterization of AM parts using a combination of TEM, EDS, SEM,

EBSD, and XRD analysis techniques for different material systems.

• Extracted statistical information from the segmented SEM images, including two-point correlation

functions, pair correlation functions, and cord-length correlation functions in MATLAB.

• Used the statistical information to build the process parameter-structure-property linkage using ML.